Journal ArticleDOI
Biogeography based optimization technique for best compromise solution of economic emission dispatch
TLDR
An elegant biogeography based optimization algorithm for obtaining the best compromise solution of EED problem that requires only three solution runs unlike other strategies involving more solution runs is developed.Abstract:
This paper attempts to develop an elegant biogeography based optimization algorithm for obtaining the best compromise solution of EED problem. The basic philosophy orients to create a modified objective function that provides equal significance to both fuel cost and emission cost components. Besides it requires only three solution runs unlike other strategies involving more solution runs. The performance is evaluated through three test systems and the simulation results are presented to demonstrate the validity and effectiveness of the scheme for practical applications.read more
Citations
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Journal ArticleDOI
A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells
Qun Niu,Letian Zhang,Kang Li +2 more
TL;DR: The BBO-M uses the structure of biogeography-based optimization algorithm (BBO), and both the mutation motivated from the differential evolution (DE) algorithm and the chaos theory are incorporated into the BBO structure for improving the global searching capability of the algorithm.
Journal ArticleDOI
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems
Boyang Qu,Boyang Qu,Yongsheng Zhu,Yongsheng Zhu,Yuechao Jiao,M. Y. Wu,Ponnuthurai Nagaratnam Suganthan,Jing Liang,Jing Liang +8 more
TL;DR: The state-of-the-art of research related to the development of efficient multi-objective evolutionary algorithms (MOEAs) to solve environmental/economic dispatch (EED) problems is surveyed.
Journal ArticleDOI
Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer
TL;DR: Comparative results show that the GWO algorithm is able to provide very competitive results compared to other well-known conventional, heuristics and meta-heuristics search algorithms.
Journal ArticleDOI
Economic analysis and power management of a stand-alone wind/photovoltaic hybrid energy system using biogeography based optimization algorithm
TL;DR: Results show that the hybrid energy systems can deliver energy in a stand-alone installation with an acceptable cost and can avoid the shortcoming of premature convergence of other optimization techniques to obtain the better solution.
Journal ArticleDOI
A modified harmony search method for environmental/economic load dispatch of real-world power systems
Babak Jeddi,Vahid Vahidinasab +1 more
TL;DR: In this paper, a modified harmony search algorithm (MHSA) was proposed and applied to solve ELD and CEELD problem considering the abovementioned constraints, which improves the accuracy, convergence speed, and robustness of the classical HSA.
References
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Book
Power Generation, Operation, and Control
Allen J. Wood,Bruce Wollenberg +1 more
TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Journal ArticleDOI
Biogeography-Based Optimization
TL;DR: This paper discusses natural biogeography and its mathematics, and then discusses how it can be used to solve optimization problems, and sees that BBO has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO).
Journal ArticleDOI
Power generation operation and control — 2nd edition
Allen J. Wood,Bruce Wollenberg +1 more
TL;DR: Power Generation Operation And Control Solution pdf Free April 17th, 2019 Free download Ebook Handbook Textbook User Guide PDF files on the internet quickly and easily And Distribution Third Edition electric Power Engineering Geyser Load Control Timer Isg1201 Operation Manual Using Excess Conduit Hydro generation Power For Bitcoin Mining Electric Power as mentioned in this paper
Journal ArticleDOI
Environmental/economic power dispatch using multiobjective evolutionary algorithms
TL;DR: The results demonstrate the capabilities of the proposed approach to generate well-distributed Pareto-optimal solutions of the multiobjective EED problem in one single run and the comparison with the classical techniques demonstrates the superiority of the suggested approach and confirms its potential to solve the multi objective E ED problem.
Journal ArticleDOI
Multiobjective evolutionary algorithms for electric power dispatch problem
TL;DR: The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multi objective nonlinear optimization problem are comprehensively discussed and evaluated.